Loss Situations Research Articles

“Locked Out of Caregiving”: A Case Study of Dementia Caregiving During the Covid-19 Pandemic

An estimated 69.5 million Americans are reported to be grandparents. Among them, about 10% are raising grandchildren and the number of grandparents who are raising grandchildren (GRG) is increasing. Previous research on GRG suggests that the unexpected caregiving duties may lead to negative physical and mental health including more depressive symptoms when compared to non-caregiving grandparents (NGRG). Additionally, grandparent-grandchild relationships determined by emotional availability (EA) of the grandparent may be impacted. These factors might further be complicated, especially as it relates to the health and well-being of GRG, as a result of the COVID-19 pandemic. Thus, the overarching goal of this presentation is to use the biopsychosocial model to present a conceptual framework to test the mental well-being of GRG during the COVID-19 pandemic. In this presentation, we will 1) summarize appropriate literature on GRG; 2) share a COVID-19 health and well-being assessment survey designated for GRG in order to assess their health before and since the COVID pandemic; and 3) propose a conceptual model to investigate and test the protective role of physical activity and GRG’s EA in the grandparent-grandchild relationship for the mental health of GRG. In our model, we argue that GRG experience more COVID-19 pandemic-related stress and more depressive symptoms when compared to NGRG. This proposed conceptual model offers one way to test the predictors of depressive symptoms on GRG. Future testing has the potential to shed new light on the development of appropriate intervention programs tailored to maintain the mental health of GRG.

"Locked Out of Caregiving": A Case Study of Dementia Caregiving During the Covid-19 Pandemic

It is unclear how ambiguous loss in dementia caregiving is impacted by conditions of the Covid-19 pandemic. Ambiguous loss describes situations in which closure is impossible and ambiguities within a family system ensue. Two situations of ambiguous loss exist. In the first type, one is psychologically absent, yet physically present, e.g. when one has dementia. In the second type, one is physically absent but psychologically present, e.g. moving to a nursing home. Ambiguous loss theory was applied to longitudinal interviews with an adult-child caregiver (age=52) of a mother with dementia, who resided in memory care during the Covid-19 pandemic. Theoretical analysis revealed both types of ambiguous loss were experienced in the dementia caregiving relationship. This was embedded within ambiguous loss type 2 due to the Covid-19 pandemic, e.g. social distancing and quarantine practices led to physical estrangement from others and ambiguity ensued about when, or if, estrangement would end before resulting in death. Further, the coping mechanisms defined in the ambiguous loss framework: restructuring identity, finding meaning, gaining mastery, increasing ambivalence capacity, reframing attachments, and gaining hope, were compromised due to overarching ambiguous loss attributed to the pandemic. Continued panic and frustration regarding lack of communication with and access to the memory care center instilled a sense of being “locked out of caregiving.” Findings suggest dementia caregivers may experience both types of ambiguous loss compounded during the Covid-19 pandemic, suspending grief and coping processes, and inciting poorly understood needs and challenges that must be better understood to support dementia caregivers.

Incorporation of Microgrid Technology Solutions to Reduce Power Loss in a Distribution Network with Elimination of Inefficient Power Conversion Strategies

The increase in energy-efficient DC appliances and electronic gadgets has led to an upheaval in the usage of AC–DC power convertors; hence, power loss in converter devices is cumulatively increasing. Evolving microgrid technology has also become deeply integrated with the conversion process due to increased power converters in its infrastructure, significantly worsening the power loss situation. One of the practical solutions to this disturbance is to reduce conversion losses in domestic distribution systems through the optimal deployment of the battery storage system and solar PV power using microgrid technology. In this paper, a novel energy management system is developed that uses a new control algorithm, termed Inefficient Power Conversion Elimination Algorithm (IPCEA). The proposed algorithm compares the Net Transferable Power (NTP) available on the DC side with the loss rate across the converter. The converter is switched off (or disconnected from the grid and load) if the NTP is less than 20% of the converter rating to avoid low-efficiency power conversion. The solar PV system is connected to the DC bus to supply the DC loads while the AC loads are supplied from the AC source (utility power). An auxiliary battery pack is integrated to the DC side to feed DC loads during the absence of solar energy. A battery energy storage system (BESS) is deployed to manage energy distribution effectively. The power distribution is managed using a centralized microgrid controller, and the load demand is met accordingly. Thereby, the power generated by the solar PV can be utilized effectively. Microgrid technology’s effectiveness is emphasized by comparative analysis, and the achievements are discussed in detail and highlighted using a prototype model.

High Temperature Chloride Corrosion Behavior of 904L:AlFeNiMoNb High-Entropy Alloy

In order to obtain high cost-effective coating materials working in chlorine-containing environment at high temperature, a 904L super austenitic alloy modified by an AlFeNiMoNb alloy (904L:AlFeNiMoNb) was obtained by vacuum arc melting process. The 904L:AlFeNiMoNb high-entropy alloy has a similar phase component with the AlFeNiMoNb alloy, but a more homogenous microstructure than that of the AlFeNiMoNb alloy. High-temperature chloride corrosion tests for 904L, AlFeNiMoNb, and 904L:AlFeNiMoNb high-entropy alloy were carried out under N2–2.6 vol.% CO2–1.3 vol.% O2–2,700 vppm HCl gaseous environment at 700°C and 800°C for 55 h, respectively. Due to the volatilization of FeCl2, weight change curves of the 904L alloy at 700°C and 800°C showed obvious weight loss. Especially at 800°C, the weight loss of the corroded 904L sample was 10 times that of the corroded sample at 700°C. Different from the weight loss situation of the 904L sample, both AlFeNiMoNb and 904L:AlFeNiMoNb high-entropy alloy showed small weight gains under the corrosion temperature of 700°C, while the latter gained half as much weight as the former. When the corrosion temperature was raised to 800°C, the AlFeNiMoNb and 904L:AlFeNiMoNb high-entropy alloy showed flat weight change curves with little weight loss. Weight loss for the AlFeNiMoNb and 904L:AlFeNiMoNb high-entropy alloy were 1.35138 and 0.0118 mg/cm2, respectively. The high temperature chloride corrosion resistance of 904L:AlFeNiMoNb high-entropy alloy is higher than that of 904L and AlFeNiMoNb at both 700°C and 800°C. Meanwhile, on the basis of the morphology and composition results of the corroded samples, combined with thermodynamic calculation, the high-temperature chloride corrosion mechanics of the tested alloys were discussed.

Joint Matrix Decomposition-Based Missing Data Completion in Low-Voltage Area

In-depth mining and analysis of electricity data in low-voltage area are essential for the further intelligent development of power grids. However, in the actual data collection and measurement of low-voltage area, there will be missing data, and complete electricity data cannot be obtained. To obtain complete power data, this paper proposes a low-voltage station area missing data complement model based on joint matrix decomposition. First, we analyse the characteristics of the low-pressure station data. Then, a model that comprehensively considers the characteristics of the low-voltage station area data is proposed, which includes three parts: the construction of a low-voltage station area data tensor, the joint matrix decomposition, and the completion of the missing data, and it is named LPZ. After that, the CIM learning algorithm proposed in this paper is used to iteratively solve the model to obtain the completed data. Finally, the method proposed in this paper is used to complement the two situations of random loss and all-day loss of real current data in a low-voltage station area and compared with the traditional complement method. The experimental results show that this method is not only effective but also that the completion effect is better than that of other completion methods.

HV Fuses with Improved Cyclic Stability ICS ®

For decades, high-voltage (HV) fuses have provided economical and most reliable protection of electrical applications standardized by IEC60282-1[1]. They fulfil both either the protection of the circuit components or the energy limitation, fast disconnection to limit negative effects to the corresponding network. They are often used in combination with a second switching-device of limited switching capacity. Typically, such kind of medium-voltage switching - or control-gears handle the switching tasks of the pure operating current of the application up to a certain, but limited level of short-circuit current. In the event of a high-current fault, occurring either on the grid or in one of the components, failure currents may arise which exceed the breaking capacity of this switching device. This is where the “high-voltage high-breaking- capacity fuses” – or HV fuses for short – step in. The development of more compact and economical switchgear solutions requires HV fuses with a reduced power dissipation are still able to handle higher transformer capacities. These now available so-called “Low Loss” fuses [2] provide the well-known protection of transformer circuits even in case of higher transformer capacities up to 3.000 kVA in combination with encapsulated switchgears subjected to IEC 62271–105 [3] as applied in actual renewable applications like wind or solar farms of a higher power level. However, before the “Low-loss” fuses were available HV fuses were also used inside renewable energy systems of a reduced power level. After some years of operational experiences, it became obvious that special attention has to be paid to the additional issue of cyclic stability due to current fluctuations given by nature in case of such renewable energy systems. SIBA decided to take care of this matter by developing a corresponding melting-element system and fuse series with an enhanced cyclic stability called ICS. This new fuse series can be seen as a second step and further development of the known “Low-loss” type. In addition to the improved power loss and thermal situation, this new type is providing an enhanced mechanical cyclic stability in case of current fluctuations inside renewable energy systems.

Public safety conditions under radiological emergencies monitoring comprehensive system mobile facilities application

The article presents examples of radiological emergencies with ionizing radiation sources used in radioisotope devices. A number of measures aimed at emergency response in relation to such emergencies, including in relation to the control of the radiation situation (CRS) and its assessment, are considered. A variant of building a complex of mobile CRS tools for a comprehensive monitoring system for the state of the population protection is presented. Special attention is paid to the justification and optimization of the CRS use in situations of control loss over IRS, including technical, organizational and scientific approaches to the use of these mobile tools. In order to optimize the group integrated use of mobile CRS tools, typical radiological situations are studied in advance and rational options for the mobile CRS tools using are selected, taking into account different environmental conditions, including natural-geographical, climatic and man-made factors. The considered approaches to optimization in the use of mobile means of comprehensive systems of the public protection conditions monitoring in radiological emergencies allow, first of all, to increase the efficiency of their use and ensure the successful implementation of tasks for the prevention and elimination of such emergencies consequences.

Neonatal nephron loss during active nephrogenesis results in altered expression of renal developmental genes and markers of kidney injury.

Preterm neonates are at a high risk for nephron loss under adverse clinical conditions. Renal damage potentially collides with postnatal nephrogenesis. Recent animal studies suggest that nephron loss within this vulnerable phase leads to renal damage later in life. Nephrogenic pathways are commonly reactivated after kidney injury supporting renal regeneration. We hypothesized that nephron loss during nephrogenesis affects renal development, which, in turn, impairs tissue repair after secondary injury. Neonates prior to 36 wk of gestation show an active nephrogenesis. In rats, nephrogenesis is ongoing until day 10 after birth. Mimicking the situation of severe nephron loss during nephrogenesis, male pups were uninephrectomized at day 1 of life (UNXd1). A second group of males was uninephrectomized at postnatal day 14 (UNXd14), after terminated nephrogenesis. Age-matched controls were sham operated. Three days after uninephrectomy transcriptional changes in the right kidney were analyzed by RNA-sequencing, followed by functional pathway analysis. In UNXd1, 1,182 genes were differentially regulated, but only 143 genes showed a regulation both in UNXd1 and UNXd14. The functional groups "renal development" and "kidney injury" were among the most differentially regulated groups and revealed distinctive alterations. Reduced expression of candidate genes concerning renal development (Bmp7, Gdnf, Pdgf-B, Wt1) and injury (nephrin, podocin, Tgf-β1) were detected. The downregulation of Bmp7 and Gdnf persisted until day 28. In UNXd14, Six2 was upregulated and Pax2 was downregulated. We conclude that nephron loss during nephrogenesis affects renal development and induces a specific regulation of genes that might hinder tissue repair after secondary kidney injury.

Designing a Profit and Loss Prediction Model for Health Companies Using Data Mining

Introduction: Health companies need investment for development. Due to the high risk of their activities, it is very difficult to attract investment for this field, but this lack of financial resources leads to the failure of these companies, so providing a model for predicting profits and losses in companies is very important and functional.Materials and Method: In this study, a combination of two logistic regression algorithms and differential analysis were used to design a profit and loss forecasting model. Also, the information of 20 companies in the field of health was used to evaluate the proposed model. 10 profitable companies and 10 loss-making companies were selected and for each company, nine variables independent of the financial information of these companies were collected.Results: The designed prediction model was implemented on the data in this study. To do this, the data were divided into two sets: training and testing. The prediction model was implemented on training data and evaluated by test data and reached 99.65% sensitivity, 94.75% specificity and 96.28% accuracy. The proposed model was then compared with the methods of decision tree C4.5, Bayesian, support vector machine, nearest neighborhood and multilayer neural network and it was found to have a better output.Conclusion: In this study, it was found that the risk in the field of health investment can be reduced, so the profit and loss situation of health companies can be predicted with appropriate accuracy. It was also found that the combination of logistic regression and differential analysis algorithms can increase the accuracy of the prediction model.

Geometry-Based Cooperative Localization for Connected Vehicle Subject to Temporary Loss of GNSS Signals

Onboard GNSS signal loss is a challenging issue for automated vehicles during driving in urban areas due to the effects of tall and dense buildings, flyovers, tunnels, and vegetation. To improve the vehicle localization accuracy when GNSS signals temporarily lost, this paper proposes a Geometry-based cooperative localization method (GCL) for the Internet of Vehicles. The vehicle position is estimated using mathematical geometry information, including vehicle dynamics and road shapes, which could reduce the environment-aware position constraint of cooperative localization. The relocation approach is enabled by communicating with neighboring vehicles to attenuate GNSS signal loss on localization-based services. The efficiency and scalability of GCL are evaluated in different driving conditions. The results showed that GCL achieved better localization performance than the state-of-the-art techniques in shorter and longer GNSS signal loss situations. The experimental results demonstrated the capabilities and effectiveness of the proposed algorithm to handle typical GNSS signal loss driving scenarios.

Component release after exposure of Staphylococcus aureus cells to pulsed electric fields

The objective of this work was to get further insights on the mechanism of inactivation of bacterial cells by pulsed electric fields (PEF) through the study of the release of intracellular components after exposing Staphylococcus aureus cells in McIvlaine buffer (pH 7.0, 2 mS/cm) to PEF treatments of different intensity (18 and 25 kV/cm) and treatment times (from 20 to 400 μs). Release of most compounds, except proteins, was almost immediate after the treatment, but the relative amount released depended on the molecule studied. A good correlation between the release of the smallest components studied (particularly ions) and membrane permeabilization (as measured by NaCl sensitization and PI entry) was observed. On the other hand, results obtained suggested that S. aureus inactivation by PEF would be related to the exit of cytoplasmic proteins of a molecular weight higher than 6 kDa. Results obtained in this work indicated that increasing PEF treatment time would reduce the capability of S. aureus cells to repair the electropores formed and suggested that this might be due to the formation of pores of a larger size, which S. aureus cells would be unable to reseal in a situation of homeostasis loss. Industrial relevanceResults reported here can help to design more effective treatments for microbial inactivation using PEF on food, and therefore facilitate its industrial implementation.

Advance Care Planning and Shared Decision-Making: Paving the Way

"Advance care planning (ACP) has become widely used in medical care in order to plan ahead of a loss of decision-making capacity. Since ACP aim is to promote anticipatory and substitute autonomy by engaging people ‒ and possibly their relatives ‒ in deciding about future goals of care and treatments, scientific literature in this field often posits that ACP involve shared decision-making. This assumption however is rarely backed up by an in-depth reflection on how shared decision-making might operate within ACP and which shared decision-making template is more likely to foster ACP. Our ACP tool, based on a model created at the Zurich University Hospital (Krones et al, 2019), engages patients in a structured communicational process about their values and preferences for care. In this tool, ACP facilitators help patients set goals of care and document treatments decisions in three paradigmatic situations of loss of decision-making capacity. Because our ACP tool entails discussions about goals of care, quality of life, and options in terms of disease- or symptom-management, we turned to Elwyn and al.’s three talk’s model (2012) and Vermunt et al.’s three level goal model (2018) in order to incorporate elements of shared decision-making in our ACP tool. In this presentation we discuss how these models might be combined in order to foster shared decision-making within our ACP tool and, by then, broaden its scope and eventually improve its effectiveness, strengthen its theoretical foundations and uphold the ethics of care in the event of a loss of decision-making capacity. "

COVID-19 pandemic lockdown responses from an emotional perspective: Family function as a differential pattern among older adults

Family can be an essential resource at times of loss or vital crisis. Loneliness and isolation in older adults might have serious negative consequences for their mental health. For this reason, this research aims to analyze the role of family function in the anxiety and depression experienced by older adults during the pandemic caused by COVID-19. Participants were 882 Spanish community-dwelling adults over 60 years of age. Sociodemographic characteristics, characteristics related to the coronavirus, self-perceived health, family function, avoidance, depression, and anxiety were analyzed. Data suggest a buffering effect of family function on anxiety and depression during the pandemic. Furthermore, being unmarried or a female, greater fear of COVID-19, worse self-perceived health, greater avoidance, and worse family function were associated with higher levels of anxiety. Likewise, greater fear of COVID-19, poorer self-perceived health, greater avoidance, and poorer family function, were associated with greater depression. These results point out that family dysfunction is a predisposing factor for the development of the emotional problems of anxiety and depression in older people in potentially stressful and loss situations.

Research on Visual Monitoring System of Line Loss in Power Internet of Things and Power Distribution Network

In order to reduce the comprehensive line loss of the power grid, a visual monitoring technology of line loss in the distribution network based on the Internet of Things is proposed. The paper incorporates the monitoring and management of line loss during the same period into the visualization platform of the distribution network to monitor and manage the effectiveness of the whole process, and solve the problems of incomplete information, untimely filing, and inadequate updates, and fully support "one data source, one grid map, and one business line" The construction and application of the ubiquitous power Internet of Things. Based on the Internet of Things technology, the article screens the distribution network line loss data for the same period and uses Tableau software to make a visual worksheet, visualizes the line loss data, analyses the relationship between the distribution network line loss data for the same period, and conducts anti-theft analysis on the same period distribution network. The paper then performs K-means algorithm clustering analysis, visual analysis and box plot analysis on the line loss data. Summarize the threshold range of each line loss index corresponding to different conditions such as abnormal station area, to-be-upgraded station area and normal station area. Finally, build a visual interactive platform for the analysis of line loss abnormalities in the station area. Experiments have proved that the line loss visual monitoring system can control the overall situation of line loss and the processing of abnormal line loss in real time, which greatly improves work efficiency.

Investigation of occupational noise exposure and hearing loss among automobile manufacturing workers

Objective: To investigation the situation of occupational noise exposure and hearing loss among workers in automobile manufacturing enterprise during 2017-2019 in Wuhan. Methods: Workers in automobile manufacturing who underwent physical examination in Wuhan Hospital for the Prevention and Treatment of Occupational Diseases from 2017 to 2019 were included as subjects in the cross-sectional survey. Questionnaire survey, noise detection and pure tone threshold test were used. Excluding individuals with working time less than 3 years and information deficiency, 3 948 individuals were finally included in the study. Results: Among 3 948 workers, 128 workers had hearing loss and the rate of hearing loss was 3.24%, among which 101 workers had high-frequency hearing loss and 27 workers were diagnosed as occupational noise deafness. The prevalence of hearing loss among workers previously exposed to noise was significantly higher than that without prior exposure (12.10%, 0.96%, P<0.05) . The prevalence of hearing loss among workers with occupational noise exposure <80 dB (A) , 80~<85 dB (A) and ≥85 dB (A) was 1.83%, 2.69% and 5.09%, respectively. The prevalence of high frequency hearing loss was 1.60%, 2.05% and 3.71%, respectively. The prevalence of occupational noise deafness was 0.23%, 0.64% and 1.38%, respectively. The prevalence of hearing loss and high frequency hearing loss among workers exposed to different occupational noise was statistically significant (P<0.05) , while the prevalence of occupational noise deafness was not statistically significant (P>0.05) . There were statistically significant differences in the prevalence of hearing loss (2.88%, 4.45%) and occupational noise deafness (0.46%, 1.41%) between those who used protective equipment and those who did not (P<0.05) . Compared with workers exposed to occupational noise <80 dB (A) , workers exposed to occupational noise ≥85 dB (A) had A 3.16-fold increased risk of hearing loss (OR=3.16, 95%CI: 1.44~6.95, P<0.05) . Compared to workers using hearing protective equipment, the risk of hearing loss (OR=1.96, 95%CI: 1.25~3.06, P<0.05) and occupational noise deafness (OR=3.46, 95%CI: 1.51-7.96, P<0.05) significantly increased among those without using hearing protective equipment. Conclusion: The risk of hearing loss in automobile manufacturing workers is significantly associated with occupational noise exposure and the use of hearing protective equipment. Good hearing protection may reduce the risk of occupational noise-induced hearing loss and occupational noise deafness.

Impact of Estrogen Withdrawal and Replacement in Female Mice along the Intestinal Tract. Comparison of E2 Replacement with the Effect of a Mixture of Low Dose Pollutants.

Postmenopausal women represent a vulnerable population towards endocrine disruptors due to hormonal deficit. We previously demonstrated that chronic exposure of ovariectomized C57Bl6/J mice fed a high-fat, high-sucrose diet to a low-dose mixture of chemicals with one dioxin, one polychlorobiphenyl, one phthalate, and bisphenol A triggered metabolic alterations in the liver but the intestine was not explored. Yet, the gastrointestinal tract is the main route by which pollutants enter the body. In the present study, we investigated the metabolic consequences of ovarian withdrawal and E2 replacement on the various gut segments along with investigating the impact of the mixture of pollutants. We showed that genes encoding estrogen receptors (Esr1, Gper1 not Esr2), xenobiotic processing genes (e.g., Cyp3a11, Cyp2b10), and genes related to gut homeostasis in the jejunum (e.g., Cd36, Got2, Mmp7) and to bile acid biosynthesis in the gut (e.g., Fgf15, Slc10a2) and liver (e.g., Abcb11, Slc10a1) were under estrogen regulation. Exposure to pollutants mimicked some of the effects of E2 replacement, particularly in the ileum (e.g., Esr1, Nr1c1) suggesting that the mixture had estrogen-mimetic activities. The present findings have important implications for the understanding of estrogen-dependent metabolic alterations with regards to situations of loss of estrogens as observed after menopause.

Compassion-focused grief therapy

ABSTRACT Training in compassion can lead to an enhanced ability to tolerate distress, maintain focus, and discern clinical interventions for clients in a variety of clinical scenarios. Cultivating a compassionate stance provides the opportunity to engage clients with full attention and presence, allowing openness and receptivity for both the painful and adaptive aspects of the grieving process. Compassion-Focused Therapy (CFT) applies principles of compassion from an evolutionary, neurobiological approach, which is of specific interest in situations of loss and grief, due to the intensity of the work and the need to provide clients with a secure base from which to they can begin the process of rebuilding their lives after a significant loss.

Mourning the Loss of the Land in Le Clézio’s “Villa Aurore” and “Orlamonde”

The popularity of Pablo Servigne and Raphaël Stevens’ best-seller Comment tout peut s’effrondrer (2015) undoubtedly speaks to our anxiety about fragile and interrelated economic, political, and environmental systems. By positing the inevitability of certain forms of collapse, la collapsologie shifts our approach from uniquely finding ways of understanding and preventing environmentally induced changes to also responding to them. This article will contribute to this discussion by examining how fiction might help us to confront changes brought about by the devastation of the land. Through its analysis of two short stories by J.M.G. Le Clézio, “Villa Aurore” and “Orlamonde,” it will discuss the therapeutic potential of fiction that engages with the psychological impact of environmental destruction on individuals. By using ruins and gardens to represent the landscape as a place of memory, dreams, and escape, Le Clézio shows us that environmental loss generates a profound re-evaluation of the self. However, this re-evaluation positively impacts the main characters by allowing them to move beyond anger and nostalgia towards acceptance, thereby constituting an exemplary model for the reader who identifies with their situation of loss.

Research progress on non-steady state noise-induced hearing loss

Non-steady state noise has become the main type of workplace noise. Compared with steady state noise, non-steady state noise may cause more serious hearing loss. This paper reviews the new situation of occupational hearing loss caused by non-steady state noise exposure, the overview of international noise exposure assessment standards and new challenges, and the new evidence of non-steady state noise induced hearing loss, so as to provide the basis for the future research of non-steady state noise induced hearing loss.

Basic neuroscience O-BN001. Calotropis procera (ROOT) ameliorates functions regain and attenuates oxidative stress in a mouse model of sciatic nerve compression injury

Introduction . Peripheral nerve injury is the crucial and complicated health issue affecting the life quality and capability. This situation not only compromises the physical functions but also leads to the demise of the affected individual largely due to a lack of effective interventions. Novel therapeutic strategies must be explored and evaluated to overcome the situation of partial or complete loss of function. Here, we have inspected the role of Calotropis procera, a famous medicinal plant, in accelerating the functional retrieval following the mechanically induced sciatic nerve injury. Methods . The study was performed in BALB/c mice (n = 16, weight = 30–32 g, age = 8–10 weeks) that were divided into two groups: Normal diet (n = 8) and C. procera diet group (n = 8). A compression injury was induced to the sciatic nerve at mid-thigh region and C. procera was orally offered mixed in the diet at a dose of 100 mg/kg/day. Both motor and sensory functions were assessed by muscle grip strength, Sciatic Functional Index (SFI), and hot-plate tests. Biochemical analyses, haematology, and glucose tolerance were performed to observe the effects of C. procera on the systemic indexes. Results . We found a speedy recovery sensory and motor functions (p < 0.05). It restored muscle mass, diminished total oxidant status (TOS), and enhanced total antioxidant capacity (TAC). The activity of the enzymes i.e., arylesterase and paraoxonase also increased in the treated group. Similarly, platelet and granulocyte counts were augmented. In addition, the treated group showed an improved capacity for glucose tolerance. Conclusion . These results demonstrate that C. procera effectively accelerates the functional retrieval following an injury to the peripheral nerve. Our findings provide very important information that can help the pharmaceutical and food industries to figure out plant-based interventions against traumatic peripheral nerve injuries to develop cost-effective therapeutic products.